{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Output\CROAs.JPART subtreatment OF models.06-18-2022.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Jun 2022, 18:18:28
{txt}
{com}. 
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. *** MODELING THE EFFECTS OF CENTRALIZED REPORTING ON THE HANDLING OF EMPLOYEE DISCRIMINATION CASES IN U.S. FEDERAL AGENCIES [KRAUSE & PARK] ***
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. **** ACCESS DATABASE ***
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. use "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\CROAs.Krause&Park.06-08-2022.dta", replace
{txt}
{com}. 
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. *** TESTING H1: EVALUATING THE TOTAL NUMBER OF REPORTED DISCRIMINATION CASES [EVENT COUNT OUTCOME EXPONENTIAL MODEL) ****  
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. ****  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON AGGREGATE COUNTS OF REPORTED CASES OF DISCRIMINATION ///
> ****  [I.E., # SETTLEMENTS (INFORMAL) + # WITHDRAWN (INFORMAL) + # FORMAL COMPLAINT FILED DISCRIMINATION CASES] ****
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. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
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. ****************************************************************************************************************************************************************************
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. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
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. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.171e-17}  
Iteration 1:{space 3}EE criterion = {res: 3.145e-25}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       169
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                      {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 360.3913{col 38}{space 2} 224.1931{col 49}{space 1}    1.61{col 58}{space 3}0.108{col 66}{space 4}-79.01898{col 79}{space 3} 799.8016
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 34.78265{col 38}{space 2} 23.61909{col 49}{space 1}    1.47{col 58}{space 3}0.141{col 66}{space 4}-11.50992{col 79}{space 3} 81.07523
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                     {txt}{c |}
lagsumintextreport_count {c |}{col 26}{res}{space 2}  .000891{col 38}{space 2} .0006772{col 49}{space 1}    1.32{col 58}{space 3}0.188{col 66}{space 4}-.0004364{col 79}{space 3} .0022183
{txt}{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.0126016{col 38}{space 2} .6596037{col 49}{space 1}   -0.02{col 58}{space 3}0.985{col 66}{space 4}-1.305401{col 79}{space 3} 1.280198
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.6905234{col 38}{space 2} .4964691{col 49}{space 1}   -1.39{col 58}{space 3}0.164{col 66}{space 4}-1.663585{col 79}{space 3} .2825383
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} 2.025876{col 38}{space 2} 1.085763{col 49}{space 1}    1.87{col 58}{space 3}0.062{col 66}{space 4}-.1021813{col 79}{space 3} 4.153933
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2}-.1543805{col 38}{space 2} .1446818{col 49}{space 1}   -1.07{col 58}{space 3}0.286{col 66}{space 4}-.4379516{col 79}{space 3} .1291906
{txt}{space 15}nonnested {c |}{col 26}{res}{space 2} .8554564{col 38}{space 2}   .38013{col 49}{space 1}    2.25{col 58}{space 3}0.024{col 66}{space 4} .1104154{col 79}{space 3} 1.600498
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2} 1.982398{col 38}{space 2} 3.057132{col 49}{space 1}    0.65{col 58}{space 3}0.517{col 66}{space 4} -4.00947{col 79}{space 3} 7.974265
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 1.436268{col 38}{space 2} 1.378011{col 49}{space 1}    1.04{col 58}{space 3}0.297{col 66}{space 4}-1.264584{col 79}{space 3}  4.13712
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.2806343{col 38}{space 2} .9273775{col 49}{space 1}   -0.30{col 58}{space 3}0.762{col 66}{space 4}-2.098261{col 79}{space 3} 1.536992
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .1694112{col 38}{space 2} .7351166{col 49}{space 1}    0.23{col 58}{space 3}0.818{col 66}{space 4}-1.271391{col 79}{space 3} 1.610213
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}-1.199818{col 38}{space 2} 2.478303{col 49}{space 1}   -0.48{col 58}{space 3}0.628{col 66}{space 4}-6.057203{col 79}{space 3} 3.657567
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} 1.104703{col 38}{space 2} .1479195{col 49}{space 1}    7.47{col 58}{space 3}0.000{col 66}{space 4} .8147864{col 79}{space 3}  1.39462
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-7.616559{col 38}{space 2} 1.771859{col 49}{space 1}   -4.30{col 58}{space 3}0.000{col 66}{space 4}-11.08934{col 79}{space 3}-4.143778
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.7971725{col 38}{space 2} .6024903{col 49}{space 1}   -1.32{col 58}{space 3}0.186{col 66}{space 4}-1.978032{col 79}{space 3} .3836867
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2} .6758704{col 38}{space 2} .2661643{col 49}{space 1}    2.54{col 58}{space 3}0.011{col 66}{space 4}  .154198{col 79}{space 3} 1.197543
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}-1.087597{col 38}{space 2} .8132133{col 49}{space 1}   -1.34{col 58}{space 3}0.181{col 66}{space 4}-2.681466{col 79}{space 3} .5062715
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .8966887{col 38}{space 2} .0762782{col 49}{space 1}   11.76{col 58}{space 3}0.000{col 66}{space 4} .7471863{col 79}{space 3} 1.046191
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-2.984242{col 38}{space 2} 1.063171{col 49}{space 1}   -2.81{col 58}{space 3}0.005{col 66}{space 4}-5.068018{col 79}{space 3}-.9004664
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.999612{col 38}{space 2} 1.619789{col 49}{space 1}   -1.85{col 58}{space 3}0.064{col 66}{space 4} -6.17434{col 79}{space 3} .1751162
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-2.321891{col 38}{space 2} 1.087012{col 49}{space 1}   -2.14{col 58}{space 3}0.033{col 66}{space 4}-4.452396{col 79}{space 3}-.1913856
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.18
{txt}{col 10}Prob > chi2 =  {res}  0.0751
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.171e-17}  
Iteration 1:{space 3}EE criterion = {res: 1.027e-26}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       169
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 181.9091{col 38}{space 2} 66.59532{col 49}{space 1}    2.73{col 58}{space 3}0.006{col 66}{space 4} 51.38471{col 79}{space 3} 312.4335
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 17.53442{col 38}{space 2} 22.22467{col 49}{space 1}    0.79{col 58}{space 3}0.430{col 66}{space 4}-26.02514{col 79}{space 3} 61.09398
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H1ATET
{txt}
{com}. *
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. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.390e-14}  
Iteration 1:{space 3}EE criterion = {res: 9.048e-22}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                      {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2}  85.5927{col 38}{space 2} 101.1396{col 49}{space 1}    0.85{col 58}{space 3}0.397{col 66}{space 4}-112.6372{col 79}{space 3} 283.8226
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 115.6598{col 38}{space 2} 39.43319{col 49}{space 1}    2.93{col 58}{space 3}0.003{col 66}{space 4} 38.37216{col 79}{space 3} 192.9474
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                     {txt}{c |}
lagsumintextreport_count {c |}{col 26}{res}{space 2} .0010209{col 38}{space 2} .0004873{col 49}{space 1}    2.10{col 58}{space 3}0.036{col 66}{space 4} .0000659{col 79}{space 3} .0019759
{txt}{space 12}fairnessgsem {c |}{col 26}{res}{space 2} 2.112801{col 38}{space 2}  1.27326{col 49}{space 1}    1.66{col 58}{space 3}0.097{col 66}{space 4}-.3827422{col 79}{space 3} 4.608345
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.2883551{col 38}{space 2} .4310532{col 49}{space 1}   -0.67{col 58}{space 3}0.504{col 66}{space 4}-1.133204{col 79}{space 3} .5564936
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2}-.6383557{col 38}{space 2} .3731889{col 49}{space 1}   -1.71{col 58}{space 3}0.087{col 66}{space 4}-1.369792{col 79}{space 3} .0930811
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2}-.1829101{col 38}{space 2} .1283145{col 49}{space 1}   -1.43{col 58}{space 3}0.154{col 66}{space 4}-.4344019{col 79}{space 3} .0685817
{txt}{space 15}nonnested {c |}{col 26}{res}{space 2} .9530035{col 38}{space 2} .3622774{col 49}{space 1}    2.63{col 58}{space 3}0.009{col 66}{space 4} .2429528{col 79}{space 3} 1.663054
{txt}{space 7}politicization_lb {c |}{col 26}{res}{space 2}-4.119604{col 38}{space 2} 2.638965{col 49}{space 1}   -1.56{col 58}{space 3}0.119{col 66}{space 4}-9.291881{col 79}{space 3} 1.052673
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} 1.612553{col 38}{space 2} 1.166271{col 49}{space 1}    1.38{col 58}{space 3}0.167{col 66}{space 4}-.6732956{col 79}{space 3} 3.898402
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-2.017871{col 38}{space 2} 1.096136{col 49}{space 1}   -1.84{col 58}{space 3}0.066{col 66}{space 4}-4.166259{col 79}{space 3} .1305164
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.0533635{col 38}{space 2} .2519975{col 49}{space 1}   -0.21{col 58}{space 3}0.832{col 66}{space 4}-.5472696{col 79}{space 3} .4405426
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} .3753285{col 38}{space 2} .1491569{col 49}{space 1}    2.52{col 58}{space 3}0.012{col 66}{space 4} .0829863{col 79}{space 3} .6676707
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .9900192{col 38}{space 2} .0814179{col 49}{space 1}   12.16{col 58}{space 3}0.000{col 66}{space 4} .8304431{col 79}{space 3} 1.149595
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-5.042001{col 38}{space 2} .7911911{col 49}{space 1}   -6.37{col 58}{space 3}0.000{col 66}{space 4}-6.592707{col 79}{space 3}-3.491295
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                     {txt}{c |}
{space 12}fairnessgsem {c |}{col 26}{res}{space 2}-.9856169{col 38}{space 2} .3068199{col 49}{space 1}   -3.21{col 58}{space 3}0.001{col 66}{space 4}-1.586973{col 79}{space 3} -.384261
{txt}{space 9}ratio_fsup_msup {c |}{col 26}{res}{space 2}-.4058419{col 38}{space 2} .1665587{col 49}{space 1}   -2.44{col 58}{space 3}0.015{col 66}{space 4}-.7322909{col 79}{space 3}-.0793928
{txt}{space 4}ratio_minsup_nonmsup {c |}{col 26}{res}{space 2} 1.320893{col 38}{space 2} .3841463{col 49}{space 1}    3.44{col 58}{space 3}0.001{col 66}{space 4} .5679805{col 79}{space 3} 2.073806
{txt}{space 4}lntotworkforce_count {c |}{col 26}{res}{space 2} .9299622{col 38}{space 2} .0298242{col 49}{space 1}   31.18{col 58}{space 3}0.000{col 66}{space 4} .8715079{col 79}{space 3} .9884166
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-4.247399{col 38}{space 2}   .36185{col 49}{space 1}  -11.74{col 58}{space 3}0.000{col 66}{space 4}-4.956612{col 79}{space 3}-3.538186
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-1.245369{col 38}{space 2} .5942695{col 49}{space 1}   -2.10{col 58}{space 3}0.036{col 66}{space 4}-2.410116{col 79}{space 3}-.0806222
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                    {txt}{c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .2380938{col 38}{space 2} .2908212{col 49}{space 1}    0.82{col 58}{space 3}0.413{col 66}{space 4}-.3319053{col 79}{space 3} .8080929
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H1ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.17
{txt}{col 10}Prob > chi2 =  {res}  0.0755
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> (direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.390e-14}  
Iteration 1:{space 3}EE criterion = {res: 5.903e-22}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:exponential}
Treatment model: {res:probit}
{res}{txt}{ralign 90:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}   sumintextreport_count{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                     {txt}{c |}
{space 8}direct_reporting {c |}
{space 15}(1 vs 0)  {c |}{col 26}{res}{space 2} 107.2859{col 38}{space 2} 63.32544{col 49}{space 1}    1.69{col 58}{space 3}0.090{col 66}{space 4}-16.82973{col 79}{space 3} 231.4014
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean                   {txt}{c |}
{space 8}direct_reporting {c |}
{space 22}0  {c |}{col 26}{res}{space 2} 105.6914{col 38}{space 2} 72.16831{col 49}{space 1}    1.46{col 58}{space 3}0.143{col 66}{space 4}-35.75588{col 79}{space 3} 247.1387
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H1ATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. *** NOTE: OVERLAP ASSUMPTION IS VIOLATED REGARDING CROA TREATMENT / NON-CROA TREATMENT ***
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. *eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> *(direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem < *-0.0520733, vce(cluster a_id) aequations
. *
. *estat endogenous
. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. *eteffects (sumintextreport_count fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , exponential) ///
> *(direct_reporting lagsumintextreport_count fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem < *-0.0520733, vce(cluster a_id) atet
. *
.  
. 
. 
.  
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************
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. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** TESTING H2: EVALUATING THE PROPORTION OF PRIVATE RESOLUTION CASES: TOTAL, SETTLEMENT ONLY, & WITHDRAWN ONLY [FRACTIONAL PROBIT OUTCOME MODEL) ****  
. 
. 
. 
. 
. 
. **** ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF TOTAL PRIVATE RESOLUTION WITHIN AGENCY ///
> **** [I.E., (# SETTLEMENTS + # WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.020e-20}  
Iteration 1:{space 3}EE criterion = {res: 1.038e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .4052473{col 34}{space 2}  .079219{col 45}{space 1}    5.12{col 54}{space 3}0.000{col 62}{space 4}  .249981{col 75}{space 3} .5605137
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1286129{col 34}{space 2}  .050144{col 45}{space 1}    2.56{col 54}{space 3}0.010{col 62}{space 4} .0303324{col 75}{space 3} .2268934
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} .9157418{col 34}{space 2} .6635323{col 45}{space 1}    1.38{col 54}{space 3}0.168{col 62}{space 4}-.3847576{col 75}{space 3} 2.216241
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.3121401{col 34}{space 2} .7436548{col 45}{space 1}   -0.42{col 54}{space 3}0.675{col 62}{space 4}-1.769677{col 75}{space 3} 1.145396
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.7499396{col 34}{space 2} .5011298{col 45}{space 1}   -1.50{col 54}{space 3}0.135{col 62}{space 4}-1.732136{col 75}{space 3} .2322567
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} 2.295294{col 34}{space 2} 1.200628{col 45}{space 1}    1.91{col 54}{space 3}0.056{col 62}{space 4}-.0578942{col 75}{space 3} 4.648481
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0044408{col 34}{space 2} .0998091{col 45}{space 1}   -0.04{col 54}{space 3}0.965{col 62}{space 4} -.200063{col 75}{space 3} .1911814
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .9354085{col 34}{space 2} .3889181{col 45}{space 1}    2.41{col 54}{space 3}0.016{col 62}{space 4}  .173143{col 75}{space 3} 1.697674
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 1.895511{col 34}{space 2} 2.900889{col 45}{space 1}    0.65{col 54}{space 3}0.513{col 62}{space 4}-3.790128{col 75}{space 3} 7.581149
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.0405557{col 34}{space 2} 1.139101{col 45}{space 1}   -0.04{col 54}{space 3}0.972{col 62}{space 4}-2.273152{col 75}{space 3} 2.192041
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1652582{col 34}{space 2} .7140662{col 45}{space 1}    0.23{col 54}{space 3}0.817{col 62}{space 4}-1.234286{col 75}{space 3} 1.564802
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .9831271{col 34}{space 2} .5468906{col 45}{space 1}    1.80{col 54}{space 3}0.072{col 62}{space 4}-.0887588{col 75}{space 3} 2.055013
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-3.124684{col 34}{space 2} 2.014795{col 45}{space 1}   -1.55{col 54}{space 3}0.121{col 62}{space 4}-7.073609{col 75}{space 3}  .824241
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0734916{col 34}{space 2} .0880775{col 45}{space 1}   -0.83{col 54}{space 3}0.404{col 62}{space 4}-.2461202{col 75}{space 3} .0991371
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.9488081{col 34}{space 2} 1.627571{col 45}{space 1}   -0.58{col 54}{space 3}0.560{col 62}{space 4}-4.138789{col 75}{space 3} 2.241173
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1268404{col 34}{space 2} .3458096{col 45}{space 1}    0.37{col 54}{space 3}0.714{col 62}{space 4} -.550934{col 75}{space 3} .8046148
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .4408203{col 34}{space 2} .2506726{col 45}{space 1}    1.76{col 54}{space 3}0.079{col 62}{space 4} -.050489{col 75}{space 3} .9321297
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-1.052854{col 34}{space 2} .5158794{col 45}{space 1}   -2.04{col 54}{space 3}0.041{col 62}{space 4}-2.063959{col 75}{space 3} -.041749
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0339208{col 34}{space 2} .0470272{col 45}{space 1}    0.72{col 54}{space 3}0.471{col 62}{space 4}-.0582508{col 75}{space 3} .1260924
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.1913312{col 34}{space 2} .5170137{col 45}{space 1}   -0.37{col 54}{space 3}0.711{col 62}{space 4}-1.204659{col 75}{space 3} .8219969
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-2.444143{col 34}{space 2} 1.760763{col 45}{space 1}   -1.39{col 54}{space 3}0.165{col 62}{space 4}-5.895174{col 75}{space 3} 1.006889
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.208775{col 34}{space 2} .6592546{col 45}{space 1}   -1.83{col 54}{space 3}0.067{col 62}{space 4}-2.500891{col 75}{space 3} .0833399
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H2ATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    3.58
{txt}{col 10}Prob > chi2 =  {res}  0.1673
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 2.020e-20}  
Iteration 1:{space 3}EE criterion = {res: 9.995e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .4131025{col 34}{space 2} .0775806{col 45}{space 1}    5.32{col 54}{space 3}0.000{col 62}{space 4} .2610474{col 75}{space 3} .5651577
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0150825{col 34}{space 2} .0492375{col 45}{space 1}    0.31{col 54}{space 3}0.759{col 62}{space 4}-.0814213{col 75}{space 3} .1115862
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H2ATET
{txt}
{com}. *
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. **  MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON INTERTERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.056e-17}  
Iteration 1:{space 3}EE criterion = {res: 2.319e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0813227{col 34}{space 2} .0650989{col 45}{space 1}    1.25{col 54}{space 3}0.212{col 62}{space 4}-.0462689{col 75}{space 3} .2089142
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2866051{col 34}{space 2} .0452943{col 45}{space 1}    6.33{col 54}{space 3}0.000{col 62}{space 4} .1978299{col 75}{space 3} .3753803
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} .6539079{col 34}{space 2} .8845431{col 45}{space 1}    0.74{col 54}{space 3}0.460{col 62}{space 4}-1.079765{col 75}{space 3} 2.387581
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.908382{col 34}{space 2} 1.369884{col 45}{space 1}    1.39{col 54}{space 3}0.164{col 62}{space 4}-.7765422{col 75}{space 3} 4.593306
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.2956411{col 34}{space 2} .4373424{col 45}{space 1}   -0.68{col 54}{space 3}0.499{col 62}{space 4}-1.152817{col 75}{space 3} .5615343
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.5657248{col 34}{space 2}  .270553{col 45}{space 1}   -2.09{col 54}{space 3}0.037{col 62}{space 4}-1.095999{col 75}{space 3}-.0354507
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0133108{col 34}{space 2} .1094443{col 45}{space 1}   -0.12{col 54}{space 3}0.903{col 62}{space 4}-.2278176{col 75}{space 3}  .201196
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} 1.111046{col 34}{space 2} .3715699{col 45}{space 1}    2.99{col 54}{space 3}0.003{col 62}{space 4} .3827824{col 75}{space 3}  1.83931
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} -8.01925{col 34}{space 2} 3.366422{col 45}{space 1}   -2.38{col 54}{space 3}0.017{col 62}{space 4}-14.61732{col 75}{space 3}-1.421184
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0446104{col 34}{space 2} 1.122815{col 45}{space 1}    0.04{col 54}{space 3}0.968{col 62}{space 4}-2.156066{col 75}{space 3} 2.245287
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.6330621{col 34}{space 2} .5805365{col 45}{space 1}   -1.09{col 54}{space 3}0.276{col 62}{space 4}-1.770893{col 75}{space 3} .5047686
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .0032452{col 34}{space 2} .1736643{col 45}{space 1}    0.02{col 54}{space 3}0.985{col 62}{space 4}-.3371305{col 75}{space 3} .3436209
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0643931{col 34}{space 2}  .060103{col 45}{space 1}    1.07{col 54}{space 3}0.284{col 62}{space 4}-.0534066{col 75}{space 3} .1821927
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0007365{col 34}{space 2} .0665336{col 45}{space 1}    0.01{col 54}{space 3}0.991{col 62}{space 4}-.1296669{col 75}{space 3} .1311398
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.6008733{col 34}{space 2} .4956251{col 45}{space 1}   -1.21{col 54}{space 3}0.225{col 62}{space 4}-1.572281{col 75}{space 3} .3705341
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.1196466{col 34}{space 2} .5297406{col 45}{space 1}   -0.23{col 54}{space 3}0.821{col 62}{space 4}-1.157919{col 75}{space 3}  .918626
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.1177194{col 34}{space 2} .1160573{col 45}{space 1}   -1.01{col 54}{space 3}0.310{col 62}{space 4}-.3451875{col 75}{space 3} .1097487
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.4599356{col 34}{space 2} .2190809{col 45}{space 1}   -2.10{col 54}{space 3}0.036{col 62}{space 4}-.8893263{col 75}{space 3}-.0305448
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0202062{col 34}{space 2} .0420672{col 45}{space 1}   -0.48{col 54}{space 3}0.631{col 62}{space 4}-.1026564{col 75}{space 3} .0622439
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1193775{col 34}{space 2} .4230001{col 45}{space 1}    0.28{col 54}{space 3}0.778{col 62}{space 4}-.7096874{col 75}{space 3} .9484425
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.9822869{col 34}{space 2} .4079387{col 45}{space 1}   -2.41{col 54}{space 3}0.016{col 62}{space 4}-1.781832{col 75}{space 3}-.1827417
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .3576395{col 34}{space 2} .3664686{col 45}{space 1}    0.98{col 54}{space 3}0.329{col 62}{space 4}-.3606258{col 75}{space 3} 1.075905
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H2ATE
{txt}
{com}. * 
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    5.92
{txt}{col 10}Prob > chi2 =  {res}  0.0518
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.056e-17}  
Iteration 1:{space 3}EE criterion = {res: 2.307e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}  .274975{col 34}{space 2} .0914864{col 45}{space 1}    3.01{col 54}{space 3}0.003{col 62}{space 4} .0956649{col 75}{space 3}  .454285
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1544063{col 34}{space 2}  .085965{col 45}{space 1}    1.80{col 54}{space 3}0.072{col 62}{space 4} -.014082{col 75}{space 3} .3228946
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H2ATET
{txt}
{com}. *
. 
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. **  LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (intrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem   ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 4.923e-17}  
Iteration 1:{space 3}EE criterion = {res: 1.943e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3319372{col 34}{space 2}  .115922{col 45}{space 1}    2.86{col 54}{space 3}0.004{col 62}{space 4} .1047343{col 75}{space 3}   .55914
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2754275{col 34}{space 2} .0676406{col 45}{space 1}    4.07{col 54}{space 3}0.000{col 62}{space 4} .1428544{col 75}{space 3} .4080007
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagintrep_prop {c |}{col 22}{res}{space 2} 2.016106{col 34}{space 2}  .760233{col 45}{space 1}    2.65{col 54}{space 3}0.008{col 62}{space 4} .5260766{col 75}{space 3} 3.506135
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-1.059763{col 34}{space 2} .8284365{col 45}{space 1}   -1.28{col 54}{space 3}0.201{col 62}{space 4}-2.683469{col 75}{space 3} .5639429
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.6256711{col 34}{space 2} .4300641{col 45}{space 1}   -1.45{col 54}{space 3}0.146{col 62}{space 4}-1.468581{col 75}{space 3}  .217239
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0074457{col 34}{space 2} .1308733{col 45}{space 1}   -0.06{col 54}{space 3}0.955{col 62}{space 4}-.2639526{col 75}{space 3} .2490612
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1164974{col 34}{space 2} .1120865{col 45}{space 1}    1.04{col 54}{space 3}0.299{col 62}{space 4}-.1031881{col 75}{space 3} .3361829
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .5019459{col 34}{space 2} .4139003{col 45}{space 1}    1.21{col 54}{space 3}0.225{col 62}{space 4}-.3092838{col 75}{space 3} 1.313176
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 1.128494{col 34}{space 2}  3.02224{col 45}{space 1}    0.37{col 54}{space 3}0.709{col 62}{space 4}-4.794987{col 75}{space 3} 7.051976
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.767525{col 34}{space 2} 1.192729{col 45}{space 1}   -1.48{col 54}{space 3}0.138{col 62}{space 4}-4.105231{col 75}{space 3}   .57018
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .8718117{col 34}{space 2} .4247497{col 45}{space 1}    2.05{col 54}{space 3}0.040{col 62}{space 4} .0393177{col 75}{space 3} 1.704306
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1066918{col 34}{space 2} .1949198{col 45}{space 1}    0.55{col 54}{space 3}0.584{col 62}{space 4}-.2753439{col 75}{space 3} .4887275
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}  .080497{col 34}{space 2} .0543328{col 45}{space 1}    1.48{col 54}{space 3}0.138{col 62}{space 4}-.0259934{col 75}{space 3} .1869873
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0170466{col 34}{space 2} .0564864{col 45}{space 1}   -0.30{col 54}{space 3}0.763{col 62}{space 4}-.1277578{col 75}{space 3} .0936647
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.4200121{col 34}{space 2} .5322271{col 45}{space 1}   -0.79{col 54}{space 3}0.430{col 62}{space 4}-1.463158{col 75}{space 3} .6231338
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .3509353{col 34}{space 2} .4153109{col 45}{space 1}    0.84{col 54}{space 3}0.398{col 62}{space 4}-.4630592{col 75}{space 3}  1.16493
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .3074449{col 34}{space 2} .2210304{col 45}{space 1}    1.39{col 54}{space 3}0.164{col 62}{space 4}-.1257666{col 75}{space 3} .7406564
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0292325{col 34}{space 2} .0457149{col 45}{space 1}   -0.64{col 54}{space 3}0.523{col 62}{space 4}-.1188322{col 75}{space 3} .0603671
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0130993{col 34}{space 2}  .059077{col 45}{space 1}    0.22{col 54}{space 3}0.825{col 62}{space 4}-.1026894{col 75}{space 3}  .128888
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0858745{col 34}{space 2} .6770487{col 45}{space 1}    0.13{col 54}{space 3}0.899{col 62}{space 4}-1.241117{col 75}{space 3} 1.412865
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.7330195{col 34}{space 2} .5118092{col 45}{space 1}   -1.43{col 54}{space 3}0.152{col 62}{space 4}-1.736147{col 75}{space 3} .2701082
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.9716793{col 34}{space 2} .5571334{col 45}{space 1}   -1.74{col 54}{space 3}0.081{col 62}{space 4}-2.063641{col 75}{space 3} .1202822
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H2ATE
{txt}
{com}. * 
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    4.22
{txt}{col 10}Prob > chi2 =  {res}  0.1212
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (intrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagintrep_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 4.923e-17}  
Iteration 1:{space 3}EE criterion = {res: 1.881e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         intrep_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2804419{col 34}{space 2} .1308588{col 45}{space 1}    2.14{col 54}{space 3}0.032{col 62}{space 4} .0239634{col 75}{space 3} .5369204
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1684258{col 34}{space 2} .1221342{col 45}{space 1}    1.38{col 54}{space 3}0.168{col 62}{space 4}-.0709528{col 75}{space 3} .4078043
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H2ATET
{txt}
{com}. *
. 
.  
. 
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.A:  ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF WITHDRAWN PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# WITHDRAWN) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem >= 0.243207] ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 1.726e-19}  
Iteration 1:{space 3}EE criterion = {res: 4.650e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3521804{col 34}{space 2} .0664053{col 45}{space 1}    5.30{col 54}{space 3}0.000{col 62}{space 4} .2220285{col 75}{space 3} .4823323
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0900629{col 34}{space 2} .0223672{col 45}{space 1}    4.03{col 54}{space 3}0.000{col 62}{space 4}  .046224{col 75}{space 3} .1339017
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} .3708954{col 34}{space 2} .5968306{col 45}{space 1}    0.62{col 54}{space 3}0.534{col 62}{space 4}-.7988711{col 75}{space 3} 1.540662
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} -.189717{col 34}{space 2} .7070409{col 45}{space 1}   -0.27{col 54}{space 3}0.788{col 62}{space 4}-1.575492{col 75}{space 3} 1.196058
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} -.668547{col 34}{space 2} .4848191{col 45}{space 1}   -1.38{col 54}{space 3}0.168{col 62}{space 4}-1.618775{col 75}{space 3}  .281681
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} 2.054775{col 34}{space 2} 1.115372{col 45}{space 1}    1.84{col 54}{space 3}0.065{col 62}{space 4} -.131314{col 75}{space 3} 4.240864
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0144755{col 34}{space 2} .1024182{col 45}{space 1}    0.14{col 54}{space 3}0.888{col 62}{space 4}-.1862605{col 75}{space 3} .2152116
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .9365331{col 34}{space 2} .3887243{col 45}{space 1}    2.41{col 54}{space 3}0.016{col 62}{space 4} .1746476{col 75}{space 3} 1.698419
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 2.506725{col 34}{space 2} 2.949552{col 45}{space 1}    0.85{col 54}{space 3}0.395{col 62}{space 4}-3.274291{col 75}{space 3} 8.287741
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0101376{col 34}{space 2} 1.142737{col 45}{space 1}    0.01{col 54}{space 3}0.993{col 62}{space 4}-2.229586{col 75}{space 3} 2.249861
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1989169{col 34}{space 2} .9843761{col 45}{space 1}    0.20{col 54}{space 3}0.840{col 62}{space 4}-1.730425{col 75}{space 3} 2.128259
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .9763877{col 34}{space 2} .6728719{col 45}{space 1}    1.45{col 54}{space 3}0.147{col 62}{space 4} -.342417{col 75}{space 3} 2.295192
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-3.595308{col 34}{space 2} 2.613621{col 45}{space 1}   -1.38{col 54}{space 3}0.169{col 62}{space 4} -8.71791{col 75}{space 3} 1.527295
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0679244{col 34}{space 2} .1303055{col 45}{space 1}   -0.52{col 54}{space 3}0.602{col 62}{space 4}-.3233185{col 75}{space 3} .1874696
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.773045{col 34}{space 2} 2.328639{col 45}{space 1}   -0.76{col 54}{space 3}0.446{col 62}{space 4}-6.337094{col 75}{space 3} 2.791004
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0566245{col 34}{space 2} .4021164{col 45}{space 1}   -0.14{col 54}{space 3}0.888{col 62}{space 4}-.8447581{col 75}{space 3} .7315091
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .3415317{col 34}{space 2} .2630525{col 45}{space 1}    1.30{col 54}{space 3}0.194{col 62}{space 4}-.1740417{col 75}{space 3}  .857105
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.8042977{col 34}{space 2} .5555988{col 45}{space 1}   -1.45{col 54}{space 3}0.148{col 62}{space 4}-1.893251{col 75}{space 3} .2846559
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0066139{col 34}{space 2} .0430288{col 45}{space 1}    0.15{col 54}{space 3}0.878{col 62}{space 4}-.0777209{col 75}{space 3} .0909487
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.1471541{col 34}{space 2} .4596449{col 45}{space 1}   -0.32{col 54}{space 3}0.749{col 62}{space 4}-1.048042{col 75}{space 3} .7537333
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-3.378336{col 34}{space 2} 2.252185{col 45}{space 1}   -1.50{col 54}{space 3}0.134{col 62}{space 4}-7.792537{col 75}{space 3} 1.035865
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.165549{col 34}{space 2} .6532098{col 45}{space 1}   -1.78{col 54}{space 3}0.074{col 62}{space 4}-2.445817{col 75}{space 3} .1147189
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3aATE
{txt}
{com}. 
. nlcom _b[ATE:r1vs0.direct_reporting] / _b[POmean:0.direct_reporting]

       {txt}_nl_1:  {res}_b[ATE:r1vs0.direct_reporting] / _b[POmean:0.direct_reporting]

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}withdraw_p~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_nl_1 {c |}{col 14}{res}{space 2} 3.910384{col 26}{space 2}  1.32236{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} 1.318607{col 67}{space 3} 6.502161
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    3.71
{txt}{col 10}Prob > chi2 =  {res}  0.1567
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 9.541e-22}  
Iteration 1:{space 3}EE criterion = {res: 2.913e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       169
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .3362816{col 34}{space 2}  .037105{col 45}{space 1}    9.06{col 54}{space 3}0.000{col 62}{space 4} .2635571{col 75}{space 3} .4090062
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0008441{col 34}{space 2} .0051514{col 45}{space 1}    0.16{col 54}{space 3}0.870{col 62}{space 4}-.0092524{col 75}{space 3} .0109406
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3aATET
{txt}
{com}. *
. nlcom _b[ATET:r1vs0.direct_reporting] / _b[POmean:0.direct_reporting]

       {txt}_nl_1:  {res}_b[ATET:r1vs0.direct_reporting] / _b[POmean:0.direct_reporting]

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}withdraw_p~p{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_nl_1 {c |}{col 14}{res}{space 2} 398.3802{col 26}{space 2} 2458.552{col 37}{space 1}    0.16{col 46}{space 3}0.871{col 54}{space 4}-4420.293{col 67}{space 3} 5217.054
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 6.533e-18}  
Iteration 1:{space 3}EE criterion = {res: 1.465e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0685216{col 34}{space 2} .0644619{col 45}{space 1}    1.06{col 54}{space 3}0.288{col 62}{space 4}-.0578213{col 75}{space 3} .1948646
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2617555{col 34}{space 2} .0326727{col 45}{space 1}    8.01{col 54}{space 3}0.000{col 62}{space 4} .1977181{col 75}{space 3} .3257928
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2} 1.659235{col 34}{space 2} .9216613{col 45}{space 1}    1.80{col 54}{space 3}0.072{col 62}{space 4}-.1471877{col 75}{space 3} 3.465658
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2} 1.958996{col 34}{space 2} 1.388282{col 45}{space 1}    1.41{col 54}{space 3}0.158{col 62}{space 4}-.7619879{col 75}{space 3} 4.679979
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.3199124{col 34}{space 2} .4401514{col 45}{space 1}   -0.73{col 54}{space 3}0.467{col 62}{space 4}-1.182593{col 75}{space 3} .5427684
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.6001032{col 34}{space 2} .2765706{col 45}{space 1}   -2.17{col 54}{space 3}0.030{col 62}{space 4}-1.142172{col 75}{space 3}-.0580348
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0316653{col 34}{space 2} .1109109{col 45}{space 1}   -0.29{col 54}{space 3}0.775{col 62}{space 4}-.2490467{col 75}{space 3} .1857162
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} 1.127613{col 34}{space 2} .3813164{col 45}{space 1}    2.96{col 54}{space 3}0.003{col 62}{space 4} .3802462{col 75}{space 3} 1.874979
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-8.816395{col 34}{space 2} 3.057337{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-14.80867{col 75}{space 3}-2.824125
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.0271818{col 34}{space 2} 1.102326{col 45}{space 1}   -0.02{col 54}{space 3}0.980{col 62}{space 4}  -2.1877{col 75}{space 3} 2.133337
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.7145963{col 34}{space 2} .4779295{col 45}{space 1}   -1.50{col 54}{space 3}0.135{col 62}{space 4}-1.651321{col 75}{space 3} .2221284
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.1024542{col 34}{space 2} .1035121{col 45}{space 1}   -0.99{col 54}{space 3}0.322{col 62}{space 4}-.3053342{col 75}{space 3} .1004258
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .1021288{col 34}{space 2}  .031111{col 45}{space 1}    3.28{col 54}{space 3}0.001{col 62}{space 4} .0411523{col 75}{space 3} .1631054
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0948418{col 34}{space 2} .0553801{col 45}{space 1}    1.71{col 54}{space 3}0.087{col 62}{space 4}-.0137011{col 75}{space 3} .2033848
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.390573{col 34}{space 2} .4287227{col 45}{space 1}   -3.24{col 54}{space 3}0.001{col 62}{space 4}-2.230854{col 75}{space 3} -.550292
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} -.124598{col 34}{space 2} .5452439{col 45}{space 1}   -0.23{col 54}{space 3}0.819{col 62}{space 4}-1.193256{col 75}{space 3} .9440604
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.0314373{col 34}{space 2} .1228694{col 45}{space 1}   -0.26{col 54}{space 3}0.798{col 62}{space 4}-.2722569{col 75}{space 3} .2093824
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.3384391{col 34}{space 2} .2314962{col 45}{space 1}   -1.46{col 54}{space 3}0.144{col 62}{space 4}-.7921633{col 75}{space 3} .1152852
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0368169{col 34}{space 2} .0408714{col 45}{space 1}   -0.90{col 54}{space 3}0.368{col 62}{space 4}-.1169233{col 75}{space 3} .0432895
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0577683{col 34}{space 2} .4330888{col 45}{space 1}    0.13{col 54}{space 3}0.894{col 62}{space 4}-.7910703{col 75}{space 3} .9066068
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.3903262{col 34}{space 2} .2714892{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-.9224354{col 75}{space 3} .1417829
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .1303972{col 34}{space 2} .3725769{col 45}{space 1}    0.35{col 54}{space 3}0.726{col 62}{space 4}  -.59984{col 75}{space 3} .8606344
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3aATE
{txt}
{com}. * 
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    2.12
{txt}{col 10}Prob > chi2 =  {res}  0.3458
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 6.533e-18}  
Iteration 1:{space 3}EE criterion = {res: 1.454e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .1428996{col 34}{space 2}  .065993{col 45}{space 1}    2.17{col 54}{space 3}0.030{col 62}{space 4} .0135557{col 75}{space 3} .2722435
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2107354{col 34}{space 2} .0643965{col 45}{space 1}    3.27{col 54}{space 3}0.001{col 62}{space 4} .0845206{col 75}{space 3} .3369502
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3aATET
{txt}
{com}. *
. 
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (withdraw_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 7.996e-18}  
Iteration 1:{space 3}EE criterion = {res: 3.842e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}  .342447{col 34}{space 2} .1776021{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4}-.0056466{col 75}{space 3} .6905406
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2}  .198734{col 34}{space 2} .0531574{col 45}{space 1}    3.74{col 54}{space 3}0.000{col 62}{space 4} .0945475{col 75}{space 3} .3029206
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 4}lagwithdraw_prop {c |}{col 22}{res}{space 2}  1.11163{col 34}{space 2} .7995202{col 45}{space 1}    1.39{col 54}{space 3}0.164{col 62}{space 4}-.4554013{col 75}{space 3}  2.67866
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.9089155{col 34}{space 2} .8149999{col 45}{space 1}   -1.12{col 54}{space 3}0.265{col 62}{space 4}-2.506286{col 75}{space 3}  .688455
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.6152873{col 34}{space 2} .4248721{col 45}{space 1}   -1.45{col 54}{space 3}0.148{col 62}{space 4}-1.448021{col 75}{space 3} .2174467
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0071602{col 34}{space 2} .1309173{col 45}{space 1}   -0.05{col 54}{space 3}0.956{col 62}{space 4}-.2637534{col 75}{space 3}  .249433
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}  .113999{col 34}{space 2} .1146266{col 45}{space 1}    0.99{col 54}{space 3}0.320{col 62}{space 4} -.110665{col 75}{space 3} .3386629
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .5524392{col 34}{space 2}   .43468{col 45}{space 1}    1.27{col 54}{space 3}0.204{col 62}{space 4}-.2995179{col 75}{space 3} 1.404396
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 1.365137{col 34}{space 2} 3.161412{col 45}{space 1}    0.43{col 54}{space 3}0.666{col 62}{space 4}-4.831116{col 75}{space 3}  7.56139
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.248618{col 34}{space 2} 1.166507{col 45}{space 1}   -1.07{col 54}{space 3}0.284{col 62}{space 4}-3.534931{col 75}{space 3} 1.037694
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .6161379{col 34}{space 2} .3700109{col 45}{space 1}    1.67{col 54}{space 3}0.096{col 62}{space 4}-.1090702{col 75}{space 3} 1.341346
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .1957624{col 34}{space 2} .2165716{col 45}{space 1}    0.90{col 54}{space 3}0.366{col 62}{space 4}-.2287101{col 75}{space 3} .6202348
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0710224{col 34}{space 2} .0518422{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.0305864{col 75}{space 3} .1726311
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0687414{col 34}{space 2}  .038636{col 45}{space 1}    1.78{col 54}{space 3}0.075{col 62}{space 4}-.0069838{col 75}{space 3} .1444666
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.527513{col 34}{space 2} .4699937{col 45}{space 1}   -3.25{col 54}{space 3}0.001{col 62}{space 4}-2.448684{col 75}{space 3}-.6063427
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1991391{col 34}{space 2} .5353914{col 45}{space 1}    0.37{col 54}{space 3}0.710{col 62}{space 4}-.8502087{col 75}{space 3} 1.248487
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2758904{col 34}{space 2} .2900437{col 45}{space 1}    0.95{col 54}{space 3}0.342{col 62}{space 4}-.2925848{col 75}{space 3} .8443657
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0279738{col 34}{space 2} .0528823{col 45}{space 1}   -0.53{col 54}{space 3}0.597{col 62}{space 4}-.1316212{col 75}{space 3} .0756736
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0250776{col 34}{space 2} .0636215{col 45}{space 1}    0.39{col 54}{space 3}0.693{col 62}{space 4}-.0996184{col 75}{space 3} .1497735
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.2181256{col 34}{space 2} .8564094{col 45}{space 1}   -0.25{col 54}{space 3}0.799{col 62}{space 4}-1.896657{col 75}{space 3} 1.460406
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.6521788{col 34}{space 2} .4580493{col 45}{space 1}   -1.42{col 54}{space 3}0.154{col 62}{space 4}-1.549939{col 75}{space 3} .2455814
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-1.037202{col 34}{space 2} .9184975{col 45}{space 1}   -1.13{col 54}{space 3}0.259{col 62}{space 4}-2.837424{col 75}{space 3} .7630205
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3aATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    2.23
{txt}{col 10}Prob > chi2 =  {res}  0.3284
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (withdraw_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagwithdraw_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 7.996e-18}  
Iteration 1:{space 3}EE criterion = {res: 3.488e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       withdraw_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .2440354{col 34}{space 2} .1038285{col 45}{space 1}    2.35{col 54}{space 3}0.019{col 62}{space 4} .0405353{col 75}{space 3} .4475356
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1199351{col 34}{space 2} .0913346{col 45}{space 1}    1.31{col 54}{space 3}0.189{col 62}{space 4}-.0590776{col 75}{space 3} .2989477
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3aATET
{txt}
{com}. *
. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. **** TESTING H3.B: ESTIMATE ENDOGENOUS TREATMENT EFFECTS MODELS ON PROPORTION OF SETTLEMENT PRIVATE RESOLUTIONS WITHIN AGENCY  ****
. **** [I.E., (# SETTLEMENTS) / (# SETTLEMENTS + # WITHDRAWN + # FORMAL COMPLAINTS FILED) DISCRIMINATION CASES] ****
. 
. 
. ** NOTE: ALL PRIVATE RESOLUTION CASES OCCUR ONLY AFTER TRADITIONAL COUNSELING OR ALTERNATIVE DISPUTE RESOLUTION COUNSELING HAS BEEN COMPLETED **
. 
. 
. 
. 
. ** HIGH ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE RANGE [fairnessgsem >= 0.243207] ** 
. 
. 
. *** MODELS DO NOT CONVERGE -- THEREFORE COMMENT"*" SO PROGRAM RUNS TO COMPLETION ***
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 9.919e-21}  
Iteration 1:{space 3}EE criterion = {res: 6.778e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0303197{col 34}{space 2} .1942823{col 45}{space 1}    0.16{col 54}{space 3}0.876{col 62}{space 4}-.3504667{col 75}{space 3} .4111061
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0927458{col 34}{space 2} .1757427{col 45}{space 1}    0.53{col 54}{space 3}0.598{col 62}{space 4}-.2517035{col 75}{space 3} .4371951
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2} 1.596681{col 34}{space 2}  1.41849{col 45}{space 1}    1.13{col 54}{space 3}0.260{col 62}{space 4}-1.183508{col 75}{space 3}  4.37687
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.2689637{col 34}{space 2} .7079264{col 45}{space 1}   -0.38{col 54}{space 3}0.704{col 62}{space 4}-1.656474{col 75}{space 3} 1.118546
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.7439776{col 34}{space 2} .5160069{col 45}{space 1}   -1.44{col 54}{space 3}0.149{col 62}{space 4}-1.755333{col 75}{space 3} .2673772
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} 2.277756{col 34}{space 2} 1.162347{col 45}{space 1}    1.96{col 54}{space 3}0.050{col 62}{space 4}-.0004023{col 75}{space 3} 4.555914
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0062215{col 34}{space 2} .1024358{col 45}{space 1}   -0.06{col 54}{space 3}0.952{col 62}{space 4}-.2069919{col 75}{space 3} .1945489
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .9992376{col 34}{space 2} .4160054{col 45}{space 1}    2.40{col 54}{space 3}0.016{col 62}{space 4}  .183882{col 75}{space 3} 1.814593
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} 2.855513{col 34}{space 2} 3.244402{col 45}{space 1}    0.88{col 54}{space 3}0.379{col 62}{space 4}-3.503398{col 75}{space 3} 9.214424
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .1526948{col 34}{space 2} 1.119435{col 45}{space 1}    0.14{col 54}{space 3}0.892{col 62}{space 4}-2.041357{col 75}{space 3} 2.346747
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .1228686{col 34}{space 2}  .580389{col 45}{space 1}    0.21{col 54}{space 3}0.832{col 62}{space 4}-1.014673{col 75}{space 3}  1.26041
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .5515965{col 34}{space 2} .2697875{col 45}{space 1}    2.04{col 54}{space 3}0.041{col 62}{space 4} .0228227{col 75}{space 3}  1.08037
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-1.436561{col 34}{space 2} 1.584625{col 45}{space 1}   -0.91{col 54}{space 3}0.365{col 62}{space 4}-4.542368{col 75}{space 3} 1.669247
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0602946{col 34}{space 2} .1205186{col 45}{space 1}    0.50{col 54}{space 3}0.617{col 62}{space 4}-.1759176{col 75}{space 3} .2965068
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.838621{col 34}{space 2} 1.809273{col 45}{space 1}   -1.02{col 54}{space 3}0.310{col 62}{space 4} -5.38473{col 75}{space 3} 1.707489
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .3910583{col 34}{space 2} .4062738{col 45}{space 1}    0.96{col 54}{space 3}0.336{col 62}{space 4}-.4052238{col 75}{space 3}  1.18734
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2829054{col 34}{space 2} .2335158{col 45}{space 1}    1.21{col 54}{space 3}0.226{col 62}{space 4}-.1747771{col 75}{space 3}  .740588
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.7968392{col 34}{space 2} .6003504{col 45}{space 1}   -1.33{col 54}{space 3}0.184{col 62}{space 4}-1.973504{col 75}{space 3}  .379826
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0700277{col 34}{space 2}  .046021{col 45}{space 1}    1.52{col 54}{space 3}0.128{col 62}{space 4}-.0201718{col 75}{space 3} .1602273
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.913435{col 34}{space 2} .5437442{col 45}{space 1}   -3.52{col 54}{space 3}0.000{col 62}{space 4}-2.979154{col 75}{space 3}-.8477161
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.0137018{col 34}{space 2} 1.608586{col 45}{space 1}   -0.01{col 54}{space 3}0.993{col 62}{space 4}-3.166473{col 75}{space 3} 3.139069
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.5144843{col 34}{space 2} .5311496{col 45}{space 1}   -0.97{col 54}{space 3}0.333{col 62}{space 4}-1.555518{col 75}{space 3} .5265499
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.03
{txt}{col 10}Prob > chi2 =  {res}  0.5978
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 9.919e-21}  
Iteration 1:{space 3}EE criterion = {res: 6.484e-33}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       167
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0056081{col 34}{space 2} .2383142{col 45}{space 1}    0.02{col 54}{space 3}0.981{col 62}{space 4} -.461479{col 75}{space 3} .4726953
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0881076{col 34}{space 2}  .235919{col 45}{space 1}    0.37{col 54}{space 3}0.709{col 62}{space 4}-.3742851{col 75}{space 3} .5505003
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store H_H3bATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** MODERATE ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON LOWER TERCILE RANGE [fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207] ***  
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop  fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.415e-16}  
Iteration 1:{space 3}EE criterion = {res: 5.001e-29}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-.1301848{col 34}{space 2} .1454207{col 45}{space 1}   -0.90{col 54}{space 3}0.371{col 62}{space 4}-.4152041{col 75}{space 3} .1548345
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .1822243{col 34}{space 2}  .139154{col 45}{space 1}    1.31{col 54}{space 3}0.190{col 62}{space 4}-.0905126{col 75}{space 3} .4549612
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2}-1.946436{col 34}{space 2} 1.415348{col 45}{space 1}   -1.38{col 54}{space 3}0.169{col 62}{space 4}-4.720466{col 75}{space 3} .8275938
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}  1.93344{col 34}{space 2} 1.414199{col 45}{space 1}    1.37{col 54}{space 3}0.172{col 62}{space 4}-.8383398{col 75}{space 3} 4.705219
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.3303513{col 34}{space 2} .4332758{col 45}{space 1}   -0.76{col 54}{space 3}0.446{col 62}{space 4}-1.179556{col 75}{space 3} .5188538
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.5974996{col 34}{space 2} .3237437{col 45}{space 1}   -1.85{col 54}{space 3}0.065{col 62}{space 4}-1.232025{col 75}{space 3} .0370264
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0001858{col 34}{space 2} .1095245{col 45}{space 1}    0.00{col 54}{space 3}0.999{col 62}{space 4}-.2144782{col 75}{space 3} .2148499
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} 1.088926{col 34}{space 2} .3678736{col 45}{space 1}    2.96{col 54}{space 3}0.003{col 62}{space 4} .3679065{col 75}{space 3} 1.809945
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2}-7.560906{col 34}{space 2} 3.557387{col 45}{space 1}   -2.13{col 54}{space 3}0.034{col 62}{space 4}-14.53326{col 75}{space 3}-.5885552
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .4019125{col 34}{space 2} 1.110049{col 45}{space 1}    0.36{col 54}{space 3}0.717{col 62}{space 4}-1.773743{col 75}{space 3} 2.577568
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .7824467{col 34}{space 2} 1.038967{col 45}{space 1}    0.75{col 54}{space 3}0.451{col 62}{space 4}-1.253891{col 75}{space 3} 2.818785
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.0581686{col 34}{space 2} .2276052{col 45}{space 1}   -0.26{col 54}{space 3}0.798{col 62}{space 4}-.5042666{col 75}{space 3} .3879294
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} -.172225{col 34}{space 2} .1027311{col 45}{space 1}   -1.68{col 54}{space 3}0.094{col 62}{space 4}-.3735744{col 75}{space 3} .0291243
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.1102884{col 34}{space 2}  .093956{col 45}{space 1}   -1.17{col 54}{space 3}0.240{col 62}{space 4}-.2944387{col 75}{space 3} .0738619
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0573082{col 34}{space 2} .8217027{col 45}{space 1}    0.07{col 54}{space 3}0.944{col 62}{space 4}  -1.5532{col 75}{space 3} 1.667816
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-.0218644{col 34}{space 2} .7052541{col 45}{space 1}   -0.03{col 54}{space 3}0.975{col 62}{space 4}-1.404137{col 75}{space 3} 1.360408
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.2279469{col 34}{space 2} .2688057{col 45}{space 1}   -0.85{col 54}{space 3}0.396{col 62}{space 4}-.7547964{col 75}{space 3} .2989026
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.4519092{col 34}{space 2} .4593213{col 45}{space 1}   -0.98{col 54}{space 3}0.325{col 62}{space 4}-1.352162{col 75}{space 3} .4483441
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .0387673{col 34}{space 2} .0591544{col 45}{space 1}    0.66{col 54}{space 3}0.512{col 62}{space 4}-.0771732{col 75}{space 3} .1547079
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.690157{col 34}{space 2} .7311464{col 45}{space 1}   -2.31{col 54}{space 3}0.021{col 62}{space 4}-3.123178{col 75}{space 3}-.2571365
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .6158689{col 34}{space 2}  .895187{col 45}{space 1}    0.69{col 54}{space 3}0.491{col 62}{space 4}-1.138665{col 75}{space 3} 2.370403
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .5383933{col 34}{space 2}  .463568{col 45}{space 1}    1.16{col 54}{space 3}0.245{col 62}{space 4}-.3701834{col 75}{space 3}  1.44697
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.41
{txt}{col 10}Prob > chi2 =  {res}  0.4936
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop  fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop  fairnessgsem   ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem >= -0.0520733 & fairnessgsem < 0.243207, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 3.415e-16}  
Iteration 1:{space 3}EE criterion = {res: 5.001e-29}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       166
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:133} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2}-.1717712{col 34}{space 2} .2616264{col 45}{space 1}   -0.66{col 54}{space 3}0.511{col 62}{space 4}-.6845495{col 75}{space 3} .3410071
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .2474872{col 34}{space 2} .2575418{col 45}{space 1}    0.96{col 54}{space 3}0.337{col 62}{space 4}-.2572855{col 75}{space 3}   .75226
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store M_H3bATET
{txt}
{com}. *
.  
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. ** LOW ORGANIZATIONAL FAIRNESS ADMINISTRATIVE ENVIRONMENT SUB-SAMPLE BASED ON UPPER TERCILE [fairnessgsem < -0.0520733]; OTHERWISE = 0 ** 
. 
. 
. ** ATE EFFECTS: with ATEs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. 
. eteffects (settle_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) aequations
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 6.125e-18}  
Iteration 1:{space 3}EE criterion = {res: 1.185e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATE                  {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .1049422{col 34}{space 2} .1467911{col 45}{space 1}    0.71{col 54}{space 3}0.475{col 62}{space 4}-.1827631{col 75}{space 3} .3926476
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0693092{col 34}{space 2} .0304253{col 45}{space 1}    2.28{col 54}{space 3}0.023{col 62}{space 4} .0096767{col 75}{space 3} .1289417
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TME1                 {txt}{c |}
{space 6}lagsettle_prop {c |}{col 22}{res}{space 2} 2.105985{col 34}{space 2} 1.263736{col 45}{space 1}    1.67{col 54}{space 3}0.096{col 62}{space 4}-.3708913{col 75}{space 3} 4.582862
{txt}{space 8}fairnessgsem {c |}{col 22}{res}{space 2}-1.038034{col 34}{space 2} .8377112{col 45}{space 1}   -1.24{col 54}{space 3}0.215{col 62}{space 4}-2.679918{col 75}{space 3} .6038494
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.5534844{col 34}{space 2}  .429167{col 45}{space 1}   -1.29{col 54}{space 3}0.197{col 62}{space 4}-1.394636{col 75}{space 3} .2876675
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0032983{col 34}{space 2} .1349467{col 45}{space 1}   -0.02{col 54}{space 3}0.981{col 62}{space 4}-.2677891{col 75}{space 3} .2611924
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2} .1460596{col 34}{space 2} .1136639{col 45}{space 1}    1.29{col 54}{space 3}0.199{col 62}{space 4}-.0767175{col 75}{space 3} .3688367
{txt}{space 11}nonnested {c |}{col 22}{res}{space 2} .6796217{col 34}{space 2} .4050177{col 45}{space 1}    1.68{col 54}{space 3}0.093{col 62}{space 4}-.1141984{col 75}{space 3} 1.473442
{txt}{space 3}politicization_lb {c |}{col 22}{res}{space 2} .0092573{col 34}{space 2} 3.093528{col 45}{space 1}    0.00{col 54}{space 3}0.998{col 62}{space 4}-6.053945{col 75}{space 3}  6.07246
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.417239{col 34}{space 2} 1.193042{col 45}{space 1}   -1.19{col 54}{space 3}0.235{col 62}{space 4}-3.755558{col 75}{space 3} .9210806
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME0                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .8620844{col 34}{space 2} .5038754{col 45}{space 1}    1.71{col 54}{space 3}0.087{col 62}{space 4}-.1254932{col 75}{space 3} 1.849662
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2}-.0451635{col 34}{space 2} .2625296{col 45}{space 1}   -0.17{col 54}{space 3}0.863{col 62}{space 4}-.5597121{col 75}{space 3} .4693851
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2} .0087534{col 34}{space 2} .0634654{col 45}{space 1}    0.14{col 54}{space 3}0.890{col 62}{space 4}-.1156365{col 75}{space 3} .1331432
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.1627815{col 34}{space 2} .0977916{col 45}{space 1}   -1.66{col 54}{space 3}0.096{col 62}{space 4}-.3544494{col 75}{space 3} .0288865
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .0177253{col 34}{space 2}  .735396{col 45}{space 1}    0.02{col 54}{space 3}0.981{col 62}{space 4}-1.423624{col 75}{space 3} 1.459075
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}OME1                 {txt}{c |}
{space 8}fairnessgsem {c |}{col 22}{res}{space 2} .7165546{col 34}{space 2} .5463068{col 45}{space 1}    1.31{col 54}{space 3}0.190{col 62}{space 4} -.354187{col 75}{space 3} 1.787296
{txt}{space 5}ratio_fsup_msup {c |}{col 22}{res}{space 2} .2802809{col 34}{space 2} .2604816{col 45}{space 1}    1.08{col 54}{space 3}0.282{col 62}{space 4}-.2302537{col 75}{space 3} .7908156
{txt}ratio_minsup_nonmsup {c |}{col 22}{res}{space 2}-.0045845{col 34}{space 2} .0407021{col 45}{space 1}   -0.11{col 54}{space 3}0.910{col 62}{space 4} -.084359{col 75}{space 3} .0751901
{txt}lntotworkforce_count {c |}{col 22}{res}{space 2}-.0384478{col 34}{space 2} .0446263{col 45}{space 1}   -0.86{col 54}{space 3}0.389{col 62}{space 4}-.1259138{col 75}{space 3} .0490183
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.7106434{col 34}{space 2}  .647076{col 45}{space 1}   -1.10{col 54}{space 3}0.272{col 62}{space 4}-1.978889{col 75}{space 3} .5576023
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM0                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-.6129346{col 34}{space 2} .8936978{col 45}{space 1}   -0.69{col 54}{space 3}0.493{col 62}{space 4} -2.36455{col 75}{space 3} 1.138681
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}TEOM1                {txt}{c |}
{space 15}_cons {c |}{col 22}{res}{space 2} -.782887{col 34}{space 2} .8460399{col 45}{space 1}   -0.93{col 54}{space 3}0.355{col 62}{space 4}-2.441095{col 75}{space 3} .8753208
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3bATE
{txt}
{com}. *
. estat endogenous

{txt}{col 3}Test of endogeneity
{col 3}Ho: treatment and outcome unobservables are uncorrelated

{col 12}chi2(  2) ={res}    1.06
{txt}{col 10}Prob > chi2 =  {res}  0.5884
{txt}
{com}. 
. 
. 
. ** ATET EFFECTS: with ATETs evaluated as proportion of POM cases [i.e., decentralized reporting cases/control group] **
. ** NOTE WITHOUT FULL SET OF ESTIMATES SINCE ALL MODEL ESTIMATES ARE IDENTICAL TO ATE REPORTED FULL MODEL **
.  
. eteffects (settle_prop fairnessgsem ratio_fsup_msup ratio_minsup_nonmsup lntotworkforce_count , fractional) ///
> (direct_reporting lagsettle_prop fairnessgsem  ratio_fsup_msup ratio_minsup_nonmsup  lntotworkforce_count nonnested politicization_lb) if intrep_prop!=. & fairnessgsem < -0.0520733, vce(cluster a_id) atet
{res}
{txt}Iteration 0:{space 3}EE criterion = {res: 6.125e-18}  
Iteration 1:{space 3}EE criterion = {res: 1.202e-32}  
{res}
{txt}Endogenous treatment-effects estimation{col 49}Number of obs{col 67}= {res}       168
{txt}Outcome model  : {res:fractional}
Treatment model: {res:probit}
{res}{txt}{ralign 86:(Std. Err. adjusted for {res:132} clusters in a_id)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}         settle_prop{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ATET                 {txt}{c |}
{space 4}direct_reporting {c |}
{space 11}(1 vs 0)  {c |}{col 22}{res}{space 2} .0507188{col 34}{space 2} .0638513{col 45}{space 1}    0.79{col 54}{space 3}0.427{col 62}{space 4}-.0744275{col 75}{space 3} .1758651
{txt}{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}POmean               {txt}{c |}
{space 4}direct_reporting {c |}
{space 18}0  {c |}{col 22}{res}{space 2} .0341475{col 34}{space 2} .0577516{col 45}{space 1}    0.59{col 54}{space 3}0.554{col 62}{space 4}-.0790436{col 75}{space 3} .1473386
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store L_H3bATET
{txt}
{com}. *
. 
. coefplot (M_H1ATE, rename(r1vs0.direct_reporting="ATE") \ M_H1ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H1ATE, rename(r1vs0.direct_reporting="ATE") \ H_H1ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle)||,  nokey norecycle vertical ylabel(-1000 (500) 1000, angle(horizon)) yscale(range (-1000 (500) 1000)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) note("Low OF: Treatment Overlap Assumption Violated", j(right) place(seast) size(vsmall)) title("Figure 4A" "Total Number of Reported Discrimination", size(med))) saving("Figure4A")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file Figure4A.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure4A.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure4A.gph saved)

{com}. 
. coefplot (L_H2ATE, rename(r1vs0.direct_reporting="ATE") \ L_H2ATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle)  || (M_H2ATE, rename(r1vs0.direct_reporting="ATE") \ M_H2ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H2ATE, rename(r1vs0.direct_reporting="ATE") \ H_H2ATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||, nokey norecycle vertical ylabel(-0.4 (0.2) 0.6, angle(horizon)) yscale(range (-0.4 (0.2) 0.6)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure 4B" "Informal Caseload Rate", size(med))) saving("Figure4B")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file Figure4B.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure4B.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure4B.gph saved)

{com}. 
. coefplot (L_H3aATE, rename(r1vs0.direct_reporting="ATE") \ L_H3aATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle) || (M_H3aATE, rename(r1vs0.direct_reporting="ATE") \ M_H3aATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H3aATE, rename(r1vs0.direct_reporting="ATE") \ H_H3aATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||, nokey norecycle vertical ylabel(-0.2 (0.2) 0.6, angle(horizon)) yscale(range (-0.2 (0.2) 0.6)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure 4C" "Withdrawn Caseload Rate", size(med))) saving("Figure4C")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file Figure4C.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure4C.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure4C.gph saved)

{com}. 
. coefplot (L_H3bATE, rename(r1vs0.direct_reporting="ATE") \ L_H3bATET, rename(r1vs0.direct_reporting="ATET")), bylabel(Low OF) ciopts(recast(rcap) lcolor(cranberry)) mcolor(cranberry) msymbol(circle) || (M_H3bATE, rename(r1vs0.direct_reporting="ATE") \ M_H3bATET, rename(r1vs0.direct_reporting="ATET")),bylabel(Moderate OF) ciopts(recast(rcap) lcolor(dkorange)) mcolor(dkorange) msymbol(circle) || (H_H3bATE, rename(r1vs0.direct_reporting="ATE") \ H_H3bATET, rename(r1vs0.direct_reporting="ATET")),bylabel(High OF) ciopts(recast(rcap) lcolor(green)) mcolor(green) msymbol(circle) ||, nokey norecycle vertical ylabel(-1 (0.4) 0.6, angle(horizon)) yscale(range (-1 (0.4) 0.6)) yline (0, lcolor(black) lwidth(thin) lpattern(dash)) nooffsets msize(medsmall) xlabel("") byopts(row(1) title("Figure 4D" "Settlement Caseload Rate", size(med))) saving("Figure4D")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}(file Figure4D.gph saved)

{com}. graph save "C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure4D.gph", replace
{res}{txt}(file C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Graphics\JPART\Figure4D.gph saved)

{com}. 
. 
. gr combine Figure4A.gph Figure4B.gph Figure4C.gph Figure4D.gph, note("Point Estimates and Corresponding 95% Confidence Intervals", j(right) place(seast) size(vsmall))
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
gsize,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. 
. 
. 
. 
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. ****************************************************************************************************************************************************************************
. 
. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\17062\Dropbox\DISCRIMINATION PROJECT (U.S. FEDERAL AGENCIES)\Final Dataset\Output\CROAs.JPART subtreatment OF models.06-18-2022.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Jun 2022, 18:18:45
{txt}{.-}
{smcl}
{txt}{sf}{ul off}